Analysis of Appearance Space Attributes for Texture ..

Appearance-space texture synthesis

For our first step we implemented Efros and Leung's texture synthesis algorithm. Basically, this algorithm generates texture by looking through the original image and finding regions that match the pixel about to be generated. It does this by comparing a "window" of pixels around the new pixel to every possible window in the original texture and measuring the distance with a gaussian version of sum of square distances weighted toward central pixels in the window. Then, to ensure randomness, it picks a random pixel from those that match within a given error bound. For more details, we recommend reading their paper at Additionally, the code base is online at: . However, if you are interested in exploring the texture-picture blending described below, we found that this version of the code would not handle the changes we needed and ended up coding our own version from scratch. You will probably want to do the same thing.

Hugues Hoppe, Appearance-space texture synthesis, ACM ..

This function is acquired by large number of measurements for all possible combinations of illumination and viewing positions hence some compressed representation of these huge BTF texture data spaces is obviously inevitable.

In this paper, we develop a multiscale texture synthesis algorithm

N2 - Crystal orientation is not typically considered when investigating the reactivity of thin films. We propose that accounting for the preferred crystallographic orientation may serve as an indirect measure of the active sites along the solid-solid interface that are difficult to measure with direct techniques. The goal of this work is to identify the preferred orientation, examine its evolution as a function of synthesis parameters, and determine its effect on photoreactivity. We examine the effect of substrate radio frequency (RF) bias and reactive gas partial pressure on the structure and photoreactivity of TiO 2 films synthesized by reactive direct current (DC) magnetron sputtering. We characterize these films using ellipsometry, scanning electron microscopy (SEM), grazing incidence X-ray diffraction (GIXRD), and pole figure scans, and test their photoreactivity with the degradation of acetaldehyde under 365 nm UV light. We find that, in the parameter space investigated, changes in RF bias strongly influence both film texture and reactivity, and that the orientation of the crystallites is the best predictor of photoreactivity. Under the synthesis conditions tested, we observe an optimum RF bias of -50 V at which the films exhibit biaxial texture with the c-axis parallel to the surface with maximum crystallinity and degree of orientation, corresponding to a maximum in the reactivity as well. Beyond this point a change in the preferred orientation is observed, and the films transition to a fiber texture with the c-axis normal to the film surface and the appearance of small amounts of rutile. The effect of texture on reactivity is discussed.

Appearance-space texture synthesis, ..

AB - Crystal orientation is not typically considered when investigating the reactivity of thin films. We propose that accounting for the preferred crystallographic orientation may serve as an indirect measure of the active sites along the solid-solid interface that are difficult to measure with direct techniques. The goal of this work is to identify the preferred orientation, examine its evolution as a function of synthesis parameters, and determine its effect on photoreactivity. We examine the effect of substrate radio frequency (RF) bias and reactive gas partial pressure on the structure and photoreactivity of TiO 2 films synthesized by reactive direct current (DC) magnetron sputtering. We characterize these films using ellipsometry, scanning electron microscopy (SEM), grazing incidence X-ray diffraction (GIXRD), and pole figure scans, and test their photoreactivity with the degradation of acetaldehyde under 365 nm UV light. We find that, in the parameter space investigated, changes in RF bias strongly influence both film texture and reactivity, and that the orientation of the crystallites is the best predictor of photoreactivity. Under the synthesis conditions tested, we observe an optimum RF bias of -50 V at which the films exhibit biaxial texture with the c-axis parallel to the surface with maximum crystallinity and degree of orientation, corresponding to a maximum in the reactivity as well. Beyond this point a change in the preferred orientation is observed, and the films transition to a fiber texture with the c-axis normal to the film surface and the appearance of small amounts of rutile. The effect of texture on reactivity is discussed.

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Texture synthesis and morphing are important techniques for efficiently creating realistic and visually attractive textures. A popular class of synthesis algorithm are pixel-based techniques, which search in a given 2D exemplar for a pixel with a similar neighbourhood to the pixel currently being generated. The methods have the advantage that they are fast, they can be easily generalised to higher dimensions, and synthesised textures can be represented as references to the exemplar which allows definition of additional channels, such as displacement maps, at no additional cost. The quality of pixel-based techniques depends on the metric used to compare pixel neighbourhoods. Lefebvre and Hoppe introduced the term appearance space for measures describing pixel neighbourhood similarity. In this paper we introduce new appearance space attributes and evaluate them and existing attributes for texture synthesis and morphing. Our results show that our proposed gradient estimate significantly improves synthesis and morphing quality with little additional cost.